Discover Toxicology was inaugurated in May 2024 as a peer-reviewed, open access platform intended to publish research across all aspects of toxicology and its applications in research, development, and society. Its founding premise, the editors explain, is to give researchers, practitioners, policymakers, and stakeholders a venue to exchange knowledge, share best practices, and collaborate on solutions to pressing toxicological challenges. Like other journals in the Discover series, it welcomes all valid research, including null results, regardless of perceived impact, provided the work meets the standards of rigor and quality associated with Springer Nature. That policy is a deliberate counterweight to publication cultures that reward only headline-grabbing findings, a bias the editors argue has left critical dynamics of toxicological mechanisms in low-resourced countries understudied.

The breadth of the journal’s ambition is reflected in its Editorial Board, whose listed expertise spans toxins and venoms, clinical and preclinical pharmacology and toxicology, bioinformatics and cheminformatics, computational chemistry, ecotoxicity, regulatory toxicology, emerging contaminants, food safety, genetic toxicology, analytical chemistry, risk assessment, mechanisms of toxicity, omics, immunotoxicology, forensic pathology, and occupational exposure assessment. In the editorial, each Section Editor introduces the domain he or she represents, offering an unusually candid view of the technical questions the journal considers most pressing.

Professor Adekunle A. Bakare of the University of Ibadan, Nigeria, anchors the genotoxicology section. His laboratory studies the genotoxicity and mutagenicity of xenobiotics, the foreign chemicals that urbanization and industrialization have made almost impossible to avoid. Using in vitro and in vivo bioassays, his group examines the cytotoxic, genotoxic, and mutagenic effects of municipal solid waste leachates, industrial effluents, pesticides, analgesics, medicinal plant extracts, antiretroviral and antituberculosis drugs, metal and metal oxide nanoparticles, and electronic waste elutriates. The stakes, he argues, are generational: DNA damage from environmental xenobiotics is implicated not only in cancer and birth defects but also in heart disease, cellular aging, immune dysfunction, altered metabolism, neurodegenerative disease, and cataracts, and germline damage may affect future as well as current generations. He invites submissions on genotoxicity testing approaches, predictive toxicology, toxicogenomics, reproductive toxicology, epigenetics, gene expression analysis of DNA toxicity, artificial intelligence applied to DNA damage, and the links between genotoxicity and carcinogenesis.

Ajay Vikram Singh, a senior scientist at the German Federal Institute for Risk Assessment (BfR) in Berlin, represents the computational and nanotoxicology frontier. Working within an institute of more than 750 scientists that advises the German government on food and product safety, chemical risks, contaminants, animal protection, and consumer health, Singh combines advanced computational models, artificial intelligence, and nanoscale characterization to decipher how chemicals, nanomaterials, and biological systems interact. The goal is proactive safety assessment: predicting toxicity before products reach the market and enabling the design of inherently safer, so-called safer-by-design materials. He highlights the integration of multi-omics data with computational approaches, the nanobiophysics of mechanistic toxicology, and the regulatory challenges posed by complex novel materials, and he welcomes manuscripts using in silico methods, AI and machine learning-driven predictive toxicology, high-throughput screening data analysis, and mechanistic studies of engineered nanomaterials.

Edmond Sanganyado, associate professor at the University of Saskatchewan, works at the intersection of analytical chemistry and systems biology, developing tools that link exposure to toxicological effect through advanced omics technologies. He frames three questions that he believes will define the field: how to detect and quantify known and unknown toxicants and their metabolites quickly, cheaply, and reliably in real samples; how complex mixtures of pollutants affect organisms, ecosystems, and humans over a lifetime; and how to identify toxic substances in ways that stand up in court, keep pace with drug trends, and support public health. Big data, artificial intelligence, high-resolution mass spectrometry, and new approach methodologies, or NAMs, are driving all three disciplines, analytical, environmental, and forensic toxicology, toward mixture-based paradigms and toward reducing and replacing animal testing. But he cautions that publication norms emphasizing narrow novelty risk leaving the toxicology of low-resourced countries chronically understudied.

Neuropharmacologist João Paulo Capela of Portugal’s Fernando Pessoa University and the University of Porto brings the journal’s coverage to drugs of abuse and clinical toxicology. His research probes the brain actions of amphetamine-type stimulants and methylphenidate, both as illicit substances and as prescribed treatments for attention deficit hyperactivity disorder and other brain disorders. His central concern is translation: whether work is done in vitro or in animals, the purpose of mechanistic toxicology is to transfer findings to the human situation in order to prevent, mitigate, or treat adverse drug effects. He sees artificial intelligence-based tools as a promising means of elevating that mechanistic understanding, and he argues that new methodologies and models are essential for surveying how drugs and toxicants inflict damage at the cellular and molecular level.

Ecotoxicologist Maranda Esterhuizen, affiliated with the University of Helsinki and Häme University of Applied Sciences in Finland, specializes in pollution impact assessment and ecological restoration through nature-based solutions, with a deliberately transdisciplinary approach bridging environmental science and policy. She describes environmental toxicology as standing at a critical juncture, confronting complex chemical mixtures and climate-induced shifts in pollutant behavior, particularly in rapidly urbanizing regions. Her section invites research using adverse outcome pathways, omics technologies, and predictive modeling to understand toxicity across biological scales, and she singles out studies integrating climate change dynamics, urbanization, and chemical mixture interactions as especially welcome, because they mirror the compounded pressures ecosystems actually face.

Food and computational toxicologist Yu-Syuan Luo of National Taiwan University completes the editorial leadership roster. His focus is on human-relevant, mechanism-informed chemical safety evaluation at a time when data gaps for emerging contaminants, low-dose exposures, and complex mixtures impede timely regulatory decisions. Food toxicology, he notes, is pivotal for assessing ingredients, contaminants, and food-contact materials, especially for endpoints such as endocrine disruption and mixture toxicity. Computational toxicology complements it with scalable predictive tools, including in silico modeling, omics-based profiling, and data-driven hazard identification and prioritization, supporting the global shift away from traditional animal testing and toward more efficient, transparent, forward-looking risk assessment.

Taken together, the editorial sketches a discipline in methodological upheaval: from single-compound testing toward mixtures, from animal models toward new approach methodologies, from reactive hazard characterization toward AI-assisted prediction and safer-by-design chemistry. By welcoming null results and prioritizing rigor over novelty, Discover Toxicology is positioning itself as a home for precisely the unglamorous, reproducible, and globally inclusive work that this transition requires, and the editors close with an open invitation to researchers worldwide to submit work spanning fundamental questions and real-world applications alike.

Subject of Research: An editorial by the section editors of the open access journal Discover Toxicology outlining research priorities across genotoxicology, computational and nanotoxicology, ecotoxicology, neurotoxicology, and food toxicology.

Article Title: Discover Toxicology, the future journal for your toxicology research

Article References: Bakare, A. A., Singh, A. V., Sanganyado, E., Capela, J. P., Esterhuizen, M., Luo, Y.-S., & Guo, Y. (2026). Discover Toxicology, the future journal for your toxicology research. Discover Toxicology, 3(1), Article 12. https://doi.org/10.1007/s44339-026-00053-1

Image Credits: AI Generated

DOI: 10.1007/s44339-026-00053-1

Keywords: Discover Toxicology, toxicology, open access publishing, genotoxicity, xenobiotics, computational toxicology, nanotoxicology, ecotoxicology, new approach methodologies, food toxicology, chemical mixtures, risk assessment

Hepatocellular carcinoma remains a significant global health challenge, holding a firm position as one of the leading causes of cancer-related deaths worldwide. The increasing prevalence of environmental carcinogens, such as ochratoxin A, has necessitated a deeper understanding of their pathogenic mechanisms. This research aims to peel back the layers of complexity surrounding how ochratoxin A may initiate or promote the development of HCC, serving as both a warning and a roadmap for future investigations into cancer causation linked to environmental toxins.

Ochratoxin A is not just a mere pollutant; it has been associated with various health ailments, most notably affecting the kidneys and the liver. Zhuo and colleagues meticulously outline the toxicological profile of ochratoxin A, highlighting its capacity to induce oxidative stress and initiate cellular apoptosis in hepatocytes, which are the chief functional cells of the liver. By disrupting normal cellular function, ochratoxin A can create a fertile ground for mutations and subsequent carcinogenesis in the liver tissue, thus paving the way for the emergence of malignant tumors.

The researchers utilized a molecular docking approach to provide insights into how ochratoxin A interacts at a molecular level with key proteins involved in cellular signaling pathways. This technique not only elucidates potential biochemical interactions but also reveals the conformational dynamics of these proteins when exposed to the toxin. By identifying specific binding sites, the study opens avenues for targeted therapeutic interventions that may counteract the adverse effects of ochratoxin A at the molecular level.

Further advancing their analysis, Zhuo et al. integrated machine learning algorithms to predict outcomes from the interaction networks informed by their molecular docking studies. This artificial intelligence-driven approach can harness vast datasets and discern complex patterns that may not be immediately apparent through traditional analytical methods. By training models on known interactions between toxins and cellular systems, the researchers were able to derive predictive insights regarding the potential risks posed by ochratoxin A, enhancing our understanding of the underlying mechanisms linking the toxin to HCC.

One striking aspect of the research is its emphasis on the role of oxidative stress as a pivotal contributor to cancer development. The accumulation of reactive oxygen species (ROS) in liver cells can lead to substantial DNA damage, as well as perturbations in cell signaling and metabolism. The study posits that ochratoxin A exacerbates oxidative stress, leading to persistent inflammatory responses and a subsequent heightened risk for cellular transformations associated with cancer.

Moreover, the research team adopted molecular dynamics simulations to assess the temporal behaviors of proteins interacting with ochratoxin A. This method provides a dynamic view of how molecular interactions evolve over time, contributing to a more comprehensive understanding of the long-term effects of ochratoxin A exposure on liver cells. These simulations illustrate how subtle changes in protein structure can significantly influence their function and, consequently, cellular health.

The collaborative nature of the research showcases an essential trend in modern scientific investigations, where interdisciplinary approaches yield more profound insights into public health issues. By melding toxicology with computational tools, the researchers have created a robust framework for exploring the pathways linking environmental toxins to metabolic diseases, illustrating a compelling model that could be replicated in future studies investigating other toxicants.

The findings present critical implications for public health policies, especially in regions where ochratoxin A exposure is prevalent due to agricultural practices. Understanding these mechanisms not only raises awareness but can catalyze regulatory measures that seek to limit ochratoxin A levels in food products, thereby reducing the risk of subsequent health ramifications among populations at risk.

As societal awareness increases regarding the link between environmental factors and health outcomes, studies like Zhuo et al.’s offer a beacon of hope in deciphering complex relationships. The call for further research, accelerated by the promising results of this study, is essential to enable more definitive conclusions about ochratoxin A and its relationship with liver cancer. Such an understanding is vital for developing interventions that can potentially mitigate risks, preventing cases of hepatocellular carcinoma induced by environmental toxins.

In conclusion, this pioneering study not only deepens our understanding of ochratoxin A’s role in promoting hepatocellular carcinoma but also exemplifies the integration of cutting-edge methodologies to address pressing public health challenges. The call to action for both the scientific community and policymakers is clear: as we advance our understanding of toxicological impacts on health, proactive measures must be taken to protect vulnerable populations from the perils of environmental toxins. Future research should continue dissecting these interactions, striving for clarity that could ultimately lead to improved health outcomes globally.

By weaving toxicological insights with sophisticated computational techniques, Zhuo et al. provide more than just findings; they present a roadmap for future explorations into the noxious world of environmental toxins. It’s an invitation for researchers and policymakers alike to collaboratively forge a path toward reduced exposure risks and enhanced public health.

Subject of Research: Mechanisms linking ochratoxin A to hepatocellular carcinoma

Article Title: Decrypting potential mechanisms linking ochratoxin A to hepatocellular carcinoma: an integrated approach combining toxicology, machine learning, molecular docking, and molecular dynamics simulation.

Article References:

Zhuo, J., Wu, H., Zhou, X. et al. Decrypting potential mechanisms linking ochratoxin A to hepatocellular carcinoma: an integrated approach combining toxicology, machine learning, molecular docking, and molecular dynamics simulation. BMC Pharmacol Toxicol (2026). https://doi.org/10.1186/s40360-026-01092-5

Image Credits: AI Generated

DOI:

Keywords: hepatocellular carcinoma, ochratoxin A, molecular docking, machine learning, toxicology, environmental toxins, oxidative stress, cancer research, public health.